Triple
T7217516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Way |
E149572
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Juan Miguel Azpiroz
Juan Miguel Azpiroz is a cinematographer best known for his work on the film "The Way."
|
E652039
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Juan Miguel Azpiroz | Statement: [The Way, cinematographyBy, Juan Miguel Azpiroz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Miguel Azpiroz Context triple: [The Way, cinematographyBy, Juan Miguel Azpiroz]
-
A.
Eduardo Arenas
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
-
B.
Rafael Maroto
Rafael Maroto was a Spanish general best known for his leading role on the royalist side during the Latin American wars of independence, particularly in Chile.
-
C.
Pablo Palazuelo
Pablo Palazuelo was a Spanish abstract painter and sculptor renowned for his geometric, spiritually infused works and as a leading figure in postwar Spanish art.
-
D.
Miguel Atristain
Miguel Atristain was a Mexican political figure involved in the mid-19th-century negotiations that concluded the Mexican–American War.
-
E.
Rafael Navarro
Rafael Navarro is a name shared by several notable individuals, including professionals in fields such as science, sports, and the arts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Juan Miguel Azpiroz Triple: [The Way, cinematographyBy, Juan Miguel Azpiroz]
Generated description
Juan Miguel Azpiroz is a cinematographer best known for his work on the film "The Way."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juan Miguel Azpiroz Target entity description: Juan Miguel Azpiroz is a cinematographer best known for his work on the film "The Way."
-
A.
Eduardo Arenas
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
-
B.
Rafael Maroto
Rafael Maroto was a Spanish general best known for his leading role on the royalist side during the Latin American wars of independence, particularly in Chile.
-
C.
Pablo Palazuelo
Pablo Palazuelo was a Spanish abstract painter and sculptor renowned for his geometric, spiritually infused works and as a leading figure in postwar Spanish art.
-
D.
Miguel Atristain
Miguel Atristain was a Mexican political figure involved in the mid-19th-century negotiations that concluded the Mexican–American War.
-
E.
Rafael Navarro
Rafael Navarro is a name shared by several notable individuals, including professionals in fields such as science, sports, and the arts.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99170d88190b1aef326a7d81134 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d38423bc8190aaf4ee3940813d33 |
completed | March 28, 2026, 1:11 p.m. |
| NEDg | Description generation | batch_69c7d44e67848190ac52eca99ef18f28 |
completed | March 28, 2026, 1:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d4fc837c81909827352be19f64b4 |
completed | March 28, 2026, 1:17 p.m. |
Created at: March 27, 2026, 2:53 p.m.